Data Engineer

VirtueTech Recruitment Group

Greater London

Ibrido

GBP 90.000 - 130.000

Tempo pieno

6 ore fa
Candidati tra i primi

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Descrizione del lavoro

VirtueTech Recruitment Group has partnered with a leading global energy trading business to hire a Senior Python Data Engineer for its Front Office Data Products team in London. You will build data pipelines, dashboards and real-time data solutions to support traders and risk teams.

Working in a hybrid London environment (3 days in office), you will collaborate with front-office stakeholders, own projects, and help expand real-time data capabilities across energy markets.

Competenze

  • Strong Python and SQL experience.
  • Experience with data orchestration tools (Airflow, Dagster, Prefect).
  • Experience with Python UI/dashboard tools (Plotly Dash or Streamlit).
  • Exposure to Kafka and real-time streaming technologies.
  • Experience with Docker, Kubernetes and Azure cloud services.

Mansioni

  • Develop data pipelines, dashboards and real-time data solutions for traders and risk teams.
  • Collaborate with front-office stakeholders, taking ownership of projects.
  • Help expand real-time data capabilities across energy markets.

Conoscenze

Python
SQL
Real-time data
Data pipelines
Front office collaboration

Strumenti

Airflow
Dagster
Prefect
Plotly Dash/Streamlit
Kafka
Docker
Kubernetes
Azure

Descrizione del lavoro

A leading global energy trading business is looking for a Senior Python Data Engineer to join its expanding Front Office Data Products team.

The role involves developing data pipelines, interactive dashboards and real-time data solutions that support traders and risk teams across the energy markets.

You’ll be working closely with front-office stakeholders, taking ownership of projects and helping the team expand its real-time data capabilities.

Technologies:

Python, SQL, Plotly Dash/Streamlit, Airflow/Dagster, Kafka, Azure, Docker

Details:

London – Hybrid (3 days in office)

Requirements:
  • Strong Python and SQL experience
  • Knowledge of data orchestration tools (Airflow, Dagster, Prefect)
  • Python UI/dashboard tools (Plotly Dash or Streamlit)
  • Exposure to Kafka and real-time streaming technologies
  • Experience with Docker, Kubernetes and Azure cloud services
  • Energy trading or financial services experience beneficial

You’ll be working closely with Front Office stakeholders, taking ownership of projects and helping the team expand its real-time data capabilities.

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